Most Developers Are Using Google’s Anti-Gravity Wrong
Google’s new AI coding platform, often called Anti-Gravity, is quietly becoming one of the most powerful developer tools available right now. And yet, most people barely scratch the surface.
They open it, type a prompt like they would in any chatbot, get some code back, and move on. In doing so, they miss most of what makes Anti-Gravity different—and far more capable than tools like Cursor or basic AI code editors.
Anti-Gravity isn’t just an assistant. It’s closer to an entire engineering team working in parallel, coordinating tasks, reviewing plans, testing code, and fixing problems before you even notice them.
Here’s what actually makes it special—and how experienced developers are using it to build real products faster.
It Thinks Like a Team, Not a Chatbot
At its core, Anti-Gravity is built around agents, not conversations.
Instead of one AI responding line by line, it can run multiple AI agents at the same time. Each agent handles a specific responsibility—frontend UI, backend APIs, data models, or workflows—just like a real development team would.
The key difference is the Agent Manager.
Think of it as mission control. From one place, you can:
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Assign tasks to different agents
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Review their plans before any code is written
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Approve or modify decisions
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Let multiple agents work in parallel
Most beginners skip this entirely and stay inside the chat window. That’s the mistake.
The Three Stages That Separate Pros From Beginners
Anti-Gravity works best when you follow its intended flow:
1. Planning First
Before writing a single line of code, an agent creates a full implementation plan. This includes:
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Project structure
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Components and data models
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API endpoints
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Architecture decisions
Nothing executes yet. You see everything upfront.
This alone eliminates many of the problems developers usually face later—rewrites, broken logic, and mismatched components.
2. Approval and Feedback
Once the plan appears, you can review it like a Google Doc. You can comment directly on any section:
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Change the tech stack
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Adjust UI decisions
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Improve data relationships
When you approve the plan, the agent incorporates your feedback automatically.
You’re not micromanaging code—you’re guiding direction.
3. Parallel Execution
Now comes the speed.
Instead of one agent building everything sequentially, you can spawn multiple agents:
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One builds the frontend
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One sets up backend APIs
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One handles workflows or pipelines
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One focuses on integrations
They all work at the same time, report progress, and notify you when checkpoints are reached.
This is where Anti-Gravity becomes dramatically faster than traditional AI tools.
Using the Right AI Model for the Right Job
Another reason Anti-Gravity stands out is its multi-model strategy.
It gives you access to several top-tier models, and each excels at different tasks:
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Gemini 3 Pro → Best for UI, layouts, visual structure, and frontend design
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Claude Sonnet 4.5 → Ideal for backend logic, system architecture, and refactoring
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GPT-4 → Reliable for routine tasks, validation, and general logic
Instead of forcing one model to do everything, you switch models based on the task. The difference in output quality is noticeable almost immediately.
This alone puts Anti-Gravity ahead of most single-model coding tools.
Artifacts: Proof, Not Guesswork
One of the most underrated features is the Artifacts system.
Rather than dumping code into a chat window, Anti-Gravity generates structured documents:
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Implementation plans
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Task breakdowns
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Architecture diagrams
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Step-by-step walkthroughs
These artifacts are editable. You can leave inline comments, request changes, and guide decisions before execution continues.
This keeps you in control—and eliminates the “hope the AI got it right” feeling.
Real Browser Automation (Not Simulated)
Anti-Gravity can launch a real Chrome browser and interact with your app the way a user would.
It can:
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Click buttons
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Fill out forms
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Navigate pages
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Detect broken flows
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Suggest fixes automatically
This turns your app into something close to self-testing and self-healing.
Instead of manually checking whether a form submits correctly, the AI tests it and flags problems before you even ask.
Custom Workflows That Save Hours
Another feature experienced developers love is Custom Workflows.
These are reusable commands—your personal playbook.
Instead of rewriting the same debugging or review instructions every time, you save them once and trigger them with a simple command. For example:
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/debug -
/review -
/optimize
Each command applies a full framework automatically. Over time, this becomes a library of your best practices—repeatable across every project.
Control vs Speed: You Decide
Anti-Gravity also lets you choose how much autonomy the agents have:
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Always ask – maximum control
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Agent decides – balanced, but unpredictable
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Always proceed – fastest execution
Most experienced users start with “always ask” during planning, then switch to “always proceed” once the foundation is solid.
That balance—control early, speed later—is where Anti-Gravity shines.
Why This Matters
Anti-Gravity isn’t just about writing code faster.
It’s about:
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Thinking before building
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Reducing mistakes early
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Letting AI handle execution while you focus on direction
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Scaling your workflow without burning out
Used properly, it feels less like an assistant and more like a highly organized engineering team that never gets tired.
Most people treat it like a chatbot.
The ones who don’t are building far more—far faster.
